Use of Troponin as a predictor for cardiovascular diseases in patients with type 2 Diabetes Mellitus

Chiara Bellia, David Della-Morte, Mauro Lombardo

Risultato della ricerca: Articlepeer review

1 Citazioni (Scopus)

Abstract

People with type 2 diabetes mellitus (T2DM) have two- to four-fold increased cardiovascular mortality in comparison to the general population. With the identification of new therapeutic targets and hypoglycemic drugs for T2DM, the need for a better stratification of CVD risk has emerged to select patients who may need intensive or specific treatment. At present, risk stratification is based on clinical, demographic, and biochemical factors. High sensitivity cardiac troponin (hs-cTn) increases after several ischemic and non-ischemic insults and it is considered a marker of myocardial injury. This review summarizes the main findings about hs-cTn utilization for risk stratification in people with T2DM and no clinical CVD. Several large observational studies have documented the association between hs-cTn and adverse cardiovascular outcomes in both the general population and in patients with T2DM. Lifestyle interventions, and particularly promotion of physical activity and adoption of healthy nutritional habits, have been associated to a significant benefit on hs-cTn release in the general population. Randomized controlled trials suggested that hypoglycemic, anti-hypertensive and lipid-lowering therapy may influence the degree of T2DM-induced cardiac injury. Besides these promising findings, the efficacy of an hs-cTn-based approach for CVD prevention in T2DM patients still requires more investigations.
Lingua originaleEnglish
pagine (da-a)54-61
Numero di pagine8
RivistaClinica Chimica Acta
Volume507
Stato di pubblicazionePublished - 2020

All Science Journal Classification (ASJC) codes

  • ???subjectarea.asjc.1300.1303???
  • ???subjectarea.asjc.1300.1308???
  • ???subjectarea.asjc.2700.2704???

Fingerprint

Entra nei temi di ricerca di 'Use of Troponin as a predictor for cardiovascular diseases in patients with type 2 Diabetes Mellitus'. Insieme formano una fingerprint unica.

Cita questo